Senior Application Software Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salary
$87,000–$187,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $137k
$72k most similar roles pay here $224k

This role pays less than 90% of similar roles. Most pay $149,642–$177,250 — the shaded band above. At the midpoint, this role pays about $137k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 666 open roles on FindRole.

Listed pay typically runs $102,300–$223,999 across 619 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Senior Application Software Engineer

As a Senior Application Software Engineer on the AI4Support team, you will serve as a technical leader focused on building scalable, cloud-based machine learning and AI solutions. You will be responsible for developing and productionizing intelligent applications that leverage large language models, generative AI, and natural language processing to solve complex business challenges. Your daily work involves collaborating with applied scientists and engineers to transform data into reliable systems while driving projects from initial experimentation through full production. Key responsibilities include model development and evaluation, Java microservice orchestration, ML system design, deployment, monitoring, and optimization. You will also help establish critical infrastructure for MLOps, testing, observability, and cloud environments. This role addresses the technical challenge of creating robust software that integrates advanced machine learning capabilities into functional products to deliver measurable impact.

What you'll do

  • Develop and productionize machine learning models using NLP, large language models, and generative AI.
  • Build scalable, cloud-based intelligent applications to solve complex business challenges.
  • Lead the development of Java microservices for application orchestration.
  • Design, deploy, and optimize robust machine learning systems.
  • Establish MLOps practices including testing, observability, and monitoring.
  • Translate complex data requirements into reliable software solutions with measurable customer impact.
  • Drive technical projects from initial experimentation through full production deployment.

What we're looking for

  • Experience in developing and productionizing machine learning models and intelligent applications.
  • Expertise in NLP, large language models, and generative AI.
  • Proficiency in Java microservice orchestration.
  • Skills in ML system design, deployment, monitoring, and optimization.
  • Ability to establish MLOps, testing, and observability practices.
  • Experience working with cross-functional teams of scientists and engineers.
  • Demonstrated ability to lead a team and drive solutions from experimentation through production.

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